A survey of simulated annealing as a tool for single and multiobjective optimization

@article{Suman2006ASO,
  title={A survey of simulated annealing as a tool for single and multiobjective optimization},
  author={Balram Suman and P. Kumar},
  journal={Journal of the Operational Research Society},
  year={2006},
  volume={57},
  pages={1143-1160}
}
  • B. SumanP. Kumar
  • Published 1 October 2006
  • Computer Science
  • Journal of the Operational Research Society
This paper presents a comprehensive review of simulated annealing (SA)-based optimization algorithms. SA-based algorithms solve single and multiobjective optimization problems, where a desired global minimum/maximum is hidden among many local minima/maxima. Three single objective optimization algorithms (SA, SA with tabu search and CSA) and five multiobjective optimization algorithms (SMOSA, UMOSA, PSA, WDMOSA and PDMOSA) based on SA have been presented. The algorithms are briefly discussed and… 

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